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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 7616
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    Explanations

    phrases indicating a sequence of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "then" used in a sequential context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orum
    -0.67
    cap
    -0.65
    venture
    -0.64
    aez
    -0.63
    chio
    -0.62
    pires
    -0.60
     Bie
    -0.60
    weed
    -0.59
     foll
    -0.59
    bub
    -0.59
    POSITIVE LOGITS
    EStream
    0.78
     proceeded
    0.78
    Ń·
    0.77
    anski
    0.74
    veland
    0.71
     srf
    0.70
     proceeds
    0.69
    ãĥĥãĥī
    0.68
    Ļ½
    0.67
    igslist
    0.66
    Activations Density 0.039%

    No Known Activations